Mac Studio
Geekbench AI Score
11081
Single Precision Score
12263
Half Precision Score
11494
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | srkses |
| Upload Date | April 11 2025 06:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4693
872.8 IPS |
|
|
Image Classification (HP)
|
100% |
4726
878.9 IPS |
|
|
Image Classification (Q)
|
96% |
4450
831.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9169
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9502
154.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47041
54.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49999
58.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47710
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
4820
382.3 IPS |
|
|
Object Detection (HP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (Q)
|
92% |
4744
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
18806
223.5 IPS |
|
|
Face Detection (HP)
|
100% |
18734
222.6 IPS |
|
|
Face Detection (Q)
|
100% |
16449
195.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24634
189.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25701
198.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23430
183.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80653
103.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94659
121.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93764
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16365
604.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16823
621.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14888
549.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1959
33.9 IPS |
