Mac Studio (2023)
Geekbench AI Score
15688
Single Precision Score
16860
Half Precision Score
15087
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ayham |
| Upload Date | November 13 2024 08:29 AM |
| Views | 6 |
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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7230
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7361
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6361
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14125
229.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13997
226.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13870
224.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
84710
98.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88387
103.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
83129
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
6749
535.3 IPS |
|
|
Object Detection (HP)
|
100% |
7108
563.8 IPS |
|
|
Object Detection (Q)
|
91% |
6234
498.1 IPS |
|
|
Face Detection (SP)
|
100% |
28959
344.1 IPS |
|
|
Face Detection (HP)
|
100% |
29732
353.3 IPS |
|
|
Face Detection (Q)
|
100% |
22264
264.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34651
267.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35729
275.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29884
233.6 IPS |
|
|
Style Transfer (SP)
|
100% |
137481
176.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155784
200.3 IPS |
|
|
Style Transfer (Q)
|
96% |
145437
187.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21144
780.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21678
800.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17791
656.9 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1987
34.3 IPS |
