Mac Studio
Geekbench AI Score
3671
Single Precision Score
5863
Half Precision Score
4686
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 08:29 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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (Q)
|
96% |
1459
272.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22345
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17217
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2315
184.3 IPS |
|
|
Object Detection (Q)
|
94% |
1731
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5340
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3036
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5735
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10327
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7133
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32832
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26239
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4740
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4761
82.3 IPS |
