Mac Studio (2023)
Geekbench AI Score
13747
Single Precision Score
14794
Half Precision Score
13229
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jonvharrison |
| Upload Date | December 08 2024 04:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6463
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6511
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5703
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11990
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11767
190.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11683
189.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
62027
72.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
65053
75.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60063
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
6087
482.8 IPS |
|
|
Object Detection (HP)
|
100% |
6303
499.9 IPS |
|
|
Object Detection (Q)
|
91% |
5523
441.3 IPS |
|
|
Face Detection (SP)
|
100% |
25293
300.5 IPS |
|
|
Face Detection (HP)
|
100% |
24730
293.8 IPS |
|
|
Face Detection (Q)
|
100% |
19109
227.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29251
225.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
29845
229.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25014
195.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114652
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
128396
165.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119676
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19985
737.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20831
769.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16932
625.2 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1926
33.3 IPS |
