Mac Studio
Geekbench AI Score
3676
Single Precision Score
5780
Half Precision Score
4673
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 07:22 PM |
| Views | 5 |
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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22035
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17543
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
2995
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5748
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10008
77.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7055
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21832
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32175
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25973
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4804
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4733
81.8 IPS |
