Mac Studio
Geekbench AI Score
3765
Single Precision Score
15356
Half Precision Score
15760
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | December 04 2024 08:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
6775
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7257
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8102
131.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
8106
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11182
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69250
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65379
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7357
585.2 IPS |
|
|
Object Detection (Q)
|
91% |
7396
591.0 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
11943
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
13000
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45676
351.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
48813
377.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22389
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116923
150.3 IPS |
|
|
Style Transfer (Q)
|
100% |
122661
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25989
959.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27590
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3990
69.0 IPS |
