Mac Studio
Geekbench AI Score
3675
Single Precision Score
5847
Half Precision Score
4678
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 08:26 PM |
| Views | 7 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10960
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22102
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16765
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5746
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10495
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7111
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21944
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32230
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26145
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4070
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4785
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4705
81.3 IPS |
