iMac (27-inch Retina Mid 2017)
Geekbench AI Score
704
Single Precision Score
89
Half Precision Score
74
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Bogusoft |
| Upload Date | February 28 2026 11:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2378
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
451
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1033
7.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
774
5.97 IPS |
|
|
Depth Estimation (Q)
|
85% |
539
4.21 IPS |
|
|
Style Transfer (SP)
|
100% |
2887
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1518
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
416
554.8 IPS |
|
|
Text Classification (HP)
|
100% |
416
555.3 IPS |
|
|
Text Classification (Q)
|
93% |
414
556.2 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (Q)
|
98% |
427
7.37 IPS |
