Mac Studio
Geekbench AI Score
2840
Single Precision Score
4295
Half Precision Score
3519
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (Q)
|
99% |
1637
305.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1205
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5609
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11166
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
1906
151.7 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4992
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7892
61.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3650
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15124
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24018
30.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24189
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4605
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3309
122.6 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3283
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3276
56.6 IPS |
