iMac (27-inch Retina Late 2015)
Geekbench ML Score
1887
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 21 2024 12:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-B809C3757DA9BB8D iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1548
289.6 IPS |
|
|
Image Classification (F16)
|
100% |
1604
300.2 IPS |
|
|
Image Classification (I8)
|
99% |
1576
294.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
5.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
5.75 IPS |
|
|
Image Segmentation (I8)
|
100% |
338
5.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
9338
11.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
9746
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10204
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1205
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1214
90.6 IPS |
|
|
Object Detection (I8)
|
97% |
1260
94.1 IPS |
|
|
Face Detection (F32)
|
100% |
4766
56.7 IPS |
|
|
Face Detection (F16)
|
98% |
5658
67.3 IPS |
|
|
Face Detection (I8)
|
97% |
5582
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5888
45.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5973
46.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
5460
42.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16611
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17956
23.6 IPS |
|
|
Style Transfer (I8)
|
100% |
19012
25.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3025
108.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2948
105.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2925
104.5 IPS |
|
|
Text Classification (F32)
|
100% |
223
320.9 IPS |
|
|
Text Classification (F16)
|
100% |
212
304.3 IPS |
|
|
Text Classification (I8)
|
96% |
242
347.7 IPS |
|
|
Machine Translation (F32)
|
100% |
243
4.46 IPS |
|
|
Machine Translation (F16)
|
100% |
231
4.26 IPS |
|
|
Machine Translation (I8)
|
99% |
248
4.57 IPS |
