iMac (27-inch Retina Late 2015)
Geekbench AI Score
1703
Single Precision Score
1708
Half Precision Score
670
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | netjosh |
| Upload Date | April 08 2026 08:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon R9 M395 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-B809C3757DA9BB8D iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
1409
261.9 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
8447
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8899
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1987
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
5146
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5075
39.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4666
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15266
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15600
20.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18239
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2369
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.7 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.8 IPS |
|
|
Text Classification (Q)
|
93% |
204
274.2 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
98% |
225
3.88 IPS |
