Mac Studio
Geekbench AI Score
4105
Single Precision Score
16386
Half Precision Score
16324
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 14 2025 09:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
6587
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6368
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9873
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10460
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15900
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
70898
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66028
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
7927
630.6 IPS |
|
|
Object Detection (Q)
|
91% |
7334
586.0 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
16084
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
15368
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6147
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52476
404.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
54623
426.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23953
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120610
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117007
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25554
943.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27901
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3837
66.3 IPS |
