Mac Studio
Geekbench AI Score
2764
Single Precision Score
4167
Half Precision Score
3504
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | nostah |
| Upload Date | August 27 2024 12:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (Q)
|
99% |
1602
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1194
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13135
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11252
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.5 IPS |
|
|
Object Detection (Q)
|
94% |
1474
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2650
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5078
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7892
61.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3837
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14736
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23652
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23534
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3283
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3153
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3140
54.3 IPS |
