Mac Studio (2023)
Geekbench AI Score
13790
Single Precision Score
14937
Half Precision Score
13265
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | masm66 |
| Upload Date | November 10 2024 10:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6481
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6640
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
5706
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11904
193.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11781
191.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11784
191.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
62093
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
65175
76.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60110
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
6186
490.7 IPS |
|
|
Object Detection (HP)
|
100% |
6379
506.0 IPS |
|
|
Object Detection (Q)
|
91% |
5583
446.2 IPS |
|
|
Face Detection (SP)
|
100% |
24942
296.4 IPS |
|
|
Face Detection (HP)
|
100% |
25721
305.6 IPS |
|
|
Face Detection (Q)
|
100% |
18971
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29304
225.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30025
231.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
25047
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
114177
146.8 IPS |
|
|
Style Transfer (HP)
|
100% |
128775
165.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119984
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20134
743.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21106
779.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17042
629.3 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1908
33.0 IPS |
