Mac Studio
Geekbench AI Score
3692
Single Precision Score
5844
Half Precision Score
4692
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:42 PM |
| Views | 9 |
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
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22103
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17151
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2313
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
3051
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10299
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7124
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21878
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32479
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26265
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4738
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4783
82.7 IPS |
