Mac Studio
Geekbench AI Score
3689
Single Precision Score
5873
Half Precision Score
4678
Quantized Score
Geekbench AI 1.4.0 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 08:32 PM |
| Views | 10 |
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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.2 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11007
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22116
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16890
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2287
182.1 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10496
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7058
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21783
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33398
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26380
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5835
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4069
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4790
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4750
82.1 IPS |
