Mac Studio
Geekbench AI Score
3706
Single Precision Score
5907
Half Precision Score
4737
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 30 2025 03:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.0 IPS |
|
|
Image Classification (Q)
|
96% |
1514
282.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11058
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22447
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17477
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5332
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10362
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7172
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22060
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33267
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26748
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4123
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4761
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4861
84.0 IPS |
