WIn10-iMacPro1,1(Vega64-ONNX-DirectML) Apple Inc. iMacPro1,1
Geekbench AI Score
10697
Single Precision Score
12135
Half Precision Score
7452
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | January 10 2026 06:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2191B |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3439
639.6 IPS |
|
|
Image Classification (HP)
|
100% |
3744
696.3 IPS |
|
|
Image Classification (Q)
|
100% |
2867
533.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6162
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6647
107.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5311
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
80531
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122300
142.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
64291
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
3672
291.3 IPS |
|
|
Object Detection (HP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (Q)
|
87% |
3194
256.2 IPS |
|
|
Face Detection (SP)
|
100% |
10615
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
11789
140.1 IPS |
|
|
Face Detection (Q)
|
97% |
8568
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23603
181.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25344
195.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17556
140.1 IPS |
|
|
Style Transfer (SP)
|
100% |
159184
204.6 IPS |
|
|
Style Transfer (HP)
|
100% |
197714
254.2 IPS |
|
|
Style Transfer (Q)
|
98% |
118342
152.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19646
725.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22796
841.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12067
446.8 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2443
42.2 IPS |
|
|
Machine Translation (Q)
|
70% |
941
17.6 IPS |
