Mac Studio
Geekbench AI Score
3674
Single Precision Score
5821
Half Precision Score
4685
Quantized Score
Geekbench AI 1.4.0 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | August 01 2025 01:09 PM |
| Views | 6 |
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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11023
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22093
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17165
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2290
182.3 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3087
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10280
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7069
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21833
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32159
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26116
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4070
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4740
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4765
82.4 IPS |
