iMac (27-inch Retina Late 2015)
Geekbench ML Score
1820
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 23 2024 05:06 PM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1621
303.3 IPS |
|
|
Image Classification (F16)
|
100% |
1604
300.1 IPS |
|
|
Image Classification (I8)
|
99% |
1537
287.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
352
5.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
340
5.67 IPS |
|
|
Image Segmentation (I8)
|
100% |
339
5.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
9205
11.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
10168
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10188
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1192
89.0 IPS |
|
|
Object Detection (F16)
|
100% |
1303
97.3 IPS |
|
|
Object Detection (I8)
|
97% |
1182
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
4666
55.5 IPS |
|
|
Face Detection (F16)
|
98% |
5221
62.1 IPS |
|
|
Face Detection (I8)
|
97% |
5222
62.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5768
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5651
43.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
4882
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16598
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18096
23.8 IPS |
|
|
Style Transfer (I8)
|
100% |
17348
22.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2633
94.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2776
99.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2527
90.3 IPS |
|
|
Text Classification (F32)
|
100% |
182
262.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.5 IPS |
|
|
Text Classification (I8)
|
96% |
242
348.2 IPS |
|
|
Machine Translation (F32)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (F16)
|
100% |
226
4.16 IPS |
|
|
Machine Translation (I8)
|
99% |
247
4.54 IPS |
