Mac Studio (2023)
Geekbench AI Score
2199
Single Precision Score
14733
Half Precision Score
15586
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 10:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1106
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
7892
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
8387
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5122
83.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5165
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11165
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92949
108.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
88991
104.4 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
99% |
9269
737.3 IPS |
|
|
Object Detection (Q)
|
93% |
10029
800.2 IPS |
|
|
Face Detection (SP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
11386
135.3 IPS |
|
|
Face Detection (Q)
|
100% |
13044
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56052
431.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
60723
469.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13268
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
146643
188.5 IPS |
|
|
Style Transfer (Q)
|
100% |
147389
189.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20885
771.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27930
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
543
725.4 IPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3377
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.4 IPS |
