iMacPro1,1
Geekbench AI Score
1096
Single Precision Score
819
Half Precision Score
528
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Marina |
| Upload Date | December 06 2024 08:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
534
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
96% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
305
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
1307
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
92% |
227
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1842
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1620
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
866
6.77 IPS |
|
|
Style Transfer (SP)
|
100% |
4812
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5224
6.72 IPS |
|
|
Style Transfer (Q)
|
96% |
3548
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
477
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
398
531.4 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.7 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.02 IPS |
