Mac Studio
Geekbench AI Score
3669
Single Precision Score
16450
Half Precision Score
16180
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | TimPeng |
| Upload Date | August 23 2025 07:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6623
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11046
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70373
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67770
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
8003
636.6 IPS |
|
|
Object Detection (Q)
|
91% |
7514
600.4 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
12799
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5768
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51132
393.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54106
422.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21956
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121673
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116601
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25844
954.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27971
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3867
66.8 IPS |
