iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
589
Single Precision Score
79
Half Precision Score
67
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | January 13 2026 10:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | iMac (21.5-inch Retina Mid 2017) |
| Model ID | iMac18,2 |
| Motherboard | Apple Inc. Mac-77F17D7DA9285301 iMac18,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
433
0.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
400
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
711
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
538
6.39 IPS |
|
|
Face Detection (Q)
|
100% |
252
3.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
802
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
85% |
447
3.50 IPS |
|
|
Style Transfer (SP)
|
100% |
2455
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1586
2.04 IPS |
|
|
Style Transfer (Q)
|
96% |
1327
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
241
8.91 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.0 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.2 IPS |
|
|
Text Classification (Q)
|
93% |
361
485.0 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
98% |
369
6.37 IPS |
