Mac Studio
Geekbench AI Score
3695
Single Precision Score
5819
Half Precision Score
4686
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10950
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22097
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17496
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3056
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9927
76.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7058
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21756
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31950
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26044
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4084
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4768
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4750
82.1 IPS |
