iMac (21.5-inch Retina Mid 2017)
Geekbench AI Score
1440
Single Precision Score
1460
Half Precision Score
612
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | Brock_Suire |
| Upload Date | July 22 2025 11:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Polaris |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1013
188.4 IPS |
|
|
Image Classification (HP)
|
100% |
1033
192.1 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
172
2.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
4765
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4959
5.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
1690
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
202
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
4218
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4266
32.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4003
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9817
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9794
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11920
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2333
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2137
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.3 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.4 IPS |
|
|
Text Classification (Q)
|
93% |
310
415.7 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
262
4.52 IPS |
