iMac Pro (Late 2017)
Geekbench AI Score
896
Single Precision Score
113
Half Precision Score
90
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 11 2026 11:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | iMac Pro (Late 2017) |
| Model ID | iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
851
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
100% |
305
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1293
9.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
85% |
714
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
3293
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3578
4.60 IPS |
|
|
Style Transfer (Q)
|
96% |
2592
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.8 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.7 IPS |
|
|
Text Classification (Q)
|
93% |
391
524.1 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
98% |
519
8.97 IPS |
