iMac Pro (Late 2017)
Geekbench AI Score
4532
Single Precision Score
4845
Half Precision Score
1166
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | jmvioque |
| Upload Date | November 26 2025 10:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
3363
625.4 IPS |
|
|
Image Classification (HP)
|
100% |
3505
651.7 IPS |
|
|
Image Classification (Q)
|
96% |
112
21.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
34351
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32649
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2600
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
3053
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
3147
249.6 IPS |
|
|
Object Detection (Q)
|
92% |
96
7.67 IPS |
|
|
Face Detection (SP)
|
100% |
9729
115.6 IPS |
|
|
Face Detection (HP)
|
100% |
13081
155.4 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
13062
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14731
113.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13211
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
63007
81.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66703
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
84750
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6749
249.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8899
328.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7548
278.7 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.5 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |
