Mac Studio
Geekbench AI Score
3753
Single Precision Score
13695
Half Precision Score
13919
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cwiltgen |
| Upload Date | August 15 2024 09:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7236
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5900
95.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5893
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69398
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
66122
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7432
591.2 IPS |
|
|
Object Detection (Q)
|
91% |
7436
594.2 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
11517
136.9 IPS |
|
|
Face Detection (Q)
|
100% |
11802
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5860
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45492
350.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
49053
379.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22410
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116891
150.3 IPS |
|
|
Style Transfer (Q)
|
100% |
121627
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25981
959.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27101
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3658
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1882
32.5 IPS |
