Mac Studio
Geekbench AI Score
3741
Single Precision Score
5826
Half Precision Score
4753
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pb56 |
| Upload Date | November 18 2024 09:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
96% |
1501
280.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2697
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22177
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17440
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2346
186.7 IPS |
|
|
Object Detection (Q)
|
94% |
1743
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3223
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10882
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7435
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22521
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35506
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27498
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6431
237.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4042
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3528
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4776
82.5 IPS |
