iMacPro1,1
Geekbench AI Score
744
Single Precision Score
535
Half Precision Score
390
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | January 28 2025 05:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
96% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
245
3.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
598
0.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
550
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
92% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.70 IPS |
|
|
Depth Estimation (Q)
|
85% |
594
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
3016
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2099
2.70 IPS |
|
|
Style Transfer (Q)
|
96% |
1736
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
312
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.8 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.1 IPS |
|
|
Text Classification (Q)
|
93% |
429
575.6 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
98% |
467
8.07 IPS |
