Mac Studio (2023)
Geekbench AI Score
2135
Single Precision Score
14937
Half Precision Score
15861
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MPN196 |
| Upload Date | September 04 2024 03:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1113
206.9 IPS |
|
|
Image Classification (HP)
|
100% |
8174
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
8713
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5120
83.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5129
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10887
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
92859
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
88256
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.9 IPS |
|
|
Object Detection (HP)
|
99% |
9392
747.1 IPS |
|
|
Object Detection (Q)
|
93% |
10030
800.3 IPS |
|
|
Face Detection (SP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
11777
139.9 IPS |
|
|
Face Detection (Q)
|
100% |
13673
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3672
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55846
430.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
60601
468.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13156
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145810
187.4 IPS |
|
|
Style Transfer (Q)
|
100% |
146220
188.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20528
758.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27224
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
389
519.1 IPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2030
35.1 IPS |
