Mac Studio
Geekbench AI Score
3686
Single Precision Score
16546
Half Precision Score
16472
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 12:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
6982
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6637
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11129
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71283
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67939
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
7963
633.4 IPS |
|
|
Object Detection (Q)
|
91% |
7467
596.7 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16307
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
15200
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52213
402.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
54088
422.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22076
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121515
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117612
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4291
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25781
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28082
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3844
66.4 IPS |
