Mac Studio
Geekbench AI Score
9943
Single Precision Score
10853
Half Precision Score
8132
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
4402
818.6 IPS |
|
|
Image Classification (HP)
|
100% |
4461
829.7 IPS |
|
|
Image Classification (Q)
|
99% |
3860
719.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8695
140.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8525
138.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8230
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
47259
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49319
57.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
42855
50.2 IPS |
|
|
Object Detection (SP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (HP)
|
100% |
4569
362.4 IPS |
|
|
Object Detection (Q)
|
91% |
3704
296.0 IPS |
|
|
Face Detection (SP)
|
100% |
18465
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
18867
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
12920
153.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23426
180.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24366
187.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
5183
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80874
104.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95195
122.4 IPS |
|
|
Style Transfer (Q)
|
100% |
93356
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15565
574.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15626
577.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11160
413.5 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
943
16.3 IPS |
