Mac Studio (2023)
Geekbench AI Score
2351
Single Precision Score
14933
Half Precision Score
16776
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:55 AM |
| Views | 7 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
7767
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
8269
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5140
83.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8722
141.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11126
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92836
108.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
88100
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
9336
742.7 IPS |
|
|
Object Detection (Q)
|
93% |
10124
807.8 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
13851
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56136
432.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
68069
531.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13242
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146038
187.7 IPS |
|
|
Style Transfer (Q)
|
95% |
134273
173.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20869
770.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27720
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2028
35.0 IPS |
