Mac Studio
Geekbench AI Score
1860
Single Precision Score
12548
Half Precision Score
12623
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 19 2024 04:20 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
7116
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7417
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9800
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69889
81.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
66229
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
99% |
7391
587.9 IPS |
|
|
Object Detection (Q)
|
93% |
7113
567.5 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
10831
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
12084
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3177
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46162
355.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
49453
382.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12237
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118584
152.4 IPS |
|
|
Style Transfer (Q)
|
100% |
123833
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18047
666.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22979
851.3 IPS |
|
|
Text Classification (SP)
|
100% |
514
685.9 IPS |
|
|
Text Classification (HP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
2407
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1852
32.0 IPS |
