Mac Studio (2023)
Geekbench AI Score
11511
Single Precision Score
11561
Half Precision Score
3703
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | September 25 2024 11:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5853
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5930
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
4610
860.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11254
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11087
179.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10551
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61096
71.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
63754
74.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
56742
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
5607
444.8 IPS |
|
|
Object Detection (HP)
|
100% |
5701
452.2 IPS |
|
|
Object Detection (Q)
|
92% |
4905
391.5 IPS |
|
|
Face Detection (SP)
|
100% |
20785
247.0 IPS |
|
|
Face Detection (HP)
|
100% |
21577
256.4 IPS |
|
|
Face Detection (Q)
|
100% |
15735
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28703
221.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29134
224.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
112407
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
126200
162.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116031
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20481
756.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20470
755.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15543
573.9 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.7 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.9 IPS |
|
|
Text Classification (Q)
|
93% |
595
799.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2121
36.6 IPS |
