Mac Studio
Geekbench AI Score
3677
Single Precision Score
5757
Half Precision Score
4703
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:35 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10998
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21519
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17217
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2298
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10351
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7085
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21826
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31799
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26833
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4076
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4753
82.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4793
82.8 IPS |
