Mac Studio
Geekbench AI Score
1956
Single Precision Score
12527
Half Precision Score
12974
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | beebopkim |
| Upload Date | August 18 2024 11:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
862
160.2 IPS |
|
|
Image Classification (HP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7485
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3862
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3858
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69280
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
64955
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (HP)
|
99% |
7476
594.7 IPS |
|
|
Object Detection (Q)
|
93% |
7130
568.9 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
11062
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
11379
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3514
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46038
354.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
49876
385.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12284
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117812
151.4 IPS |
|
|
Style Transfer (Q)
|
100% |
122505
157.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18402
679.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22996
852.0 IPS |
|
|
Text Classification (SP)
|
100% |
422
562.9 IPS |
|
|
Text Classification (HP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3472
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1821
31.5 IPS |
