WIn10-iMacPro1,1(CPU-OpenVINO) Apple Inc. iMacPro1,1
Geekbench AI Score
8426
Single Precision Score
8423
Half Precision Score
10456
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | January 10 2026 06:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2191B CPU @ 2.30GHz |
| 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% |
4966
923.6 IPS |
|
|
Image Classification (HP)
|
100% |
5061
941.1 IPS |
|
|
Image Classification (Q)
|
100% |
6075
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7571
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7510
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9821
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16063
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16079
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
24079
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
4743
376.3 IPS |
|
|
Object Detection (HP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (Q)
|
87% |
6977
559.6 IPS |
|
|
Face Detection (SP)
|
100% |
13545
160.9 IPS |
|
|
Face Detection (HP)
|
100% |
13687
162.6 IPS |
|
|
Face Detection (Q)
|
97% |
20565
245.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14406
111.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14572
112.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
18942
149.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43652
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43469
55.9 IPS |
|
|
Style Transfer (Q)
|
98% |
62542
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8302
306.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8295
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10839
401.5 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1520
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3817
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3885
66.9 IPS |
