Mac Studio
Geekbench AI Score
3700
Single Precision Score
16463
Half Precision Score
16115
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 12:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
6867
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6565
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9708
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71043
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65884
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
7951
632.5 IPS |
|
|
Object Detection (Q)
|
91% |
7467
596.6 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16178
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
13123
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51532
397.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53783
420.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21939
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120553
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116429
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25740
950.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27735
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3862
66.7 IPS |
