Mac Studio
Geekbench AI Score
3687
Single Precision Score
5800
Half Precision Score
4690
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 12:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11087
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21995
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17205
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2287
182.1 IPS |
|
|
Object Detection (Q)
|
94% |
1718
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10385
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7144
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21957
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32582
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26385
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4769
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4721
81.6 IPS |
