Mac Studio
Geekbench AI Score
2768
Single Precision Score
4205
Half Precision Score
3508
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1612
299.9 IPS |
|
|
Image Classification (Q)
|
99% |
1598
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1178
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13139
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11226
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
1902
151.4 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2573
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5070
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7923
61.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4042
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14732
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23582
30.3 IPS |
|
|
Style Transfer (Q)
|
100% |
23582
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3276
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3228
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3149
54.4 IPS |
