iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
604
Single Precision Score
81
Half Precision Score
68
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | December 21 2025 06:08 PM |
| Views | 8 |
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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
406
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
519
6.17 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
85% |
479
3.75 IPS |
|
|
Style Transfer (SP)
|
100% |
2537
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1630
2.10 IPS |
|
|
Style Transfer (Q)
|
96% |
1365
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
251
9.26 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.7 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.1 IPS |
|
|
Text Classification (Q)
|
93% |
368
493.2 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
98% |
373
6.45 IPS |
