Mac Studio
Geekbench AI Score
3754
Single Precision Score
14758
Half Precision Score
14312
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | robinjp |
| Upload Date | November 11 2024 11:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
7050
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6606
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6513
105.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6742
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10978
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71100
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67597
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
7896
628.1 IPS |
|
|
Object Detection (Q)
|
91% |
7300
583.3 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
15735
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
12837
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5939
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51321
395.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53391
417.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120950
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116750
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25727
950.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27519
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1886
32.6 IPS |
