Mac Studio
Geekbench AI Score
3685
Single Precision Score
5861
Half Precision Score
4717
Quantized Score
Geekbench AI 1.4.0-Beta1 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 06 2025 07:42 PM |
| Views | 8 |
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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11085
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22215
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17294
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2296
182.8 IPS |
|
|
Object Detection (Q)
|
94% |
1701
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5308
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3127
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10468
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7149
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22095
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32537
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26288
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4067
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4788
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4861
84.0 IPS |
