Mac Studio
Geekbench AI Score
3743
Single Precision Score
14615
Half Precision Score
14445
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 09:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1327
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
6735
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6470
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6753
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10218
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71045
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66413
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
99% |
7898
628.2 IPS |
|
|
Object Detection (Q)
|
91% |
7377
589.4 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
16190
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
15100
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6025
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51263
394.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53446
417.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22633
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121284
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117061
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25442
939.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27422
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1889
32.6 IPS |
