Mac Studio (2023)
Geekbench AI Score
3204
Single Precision Score
4778
Half Precision Score
4128
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Fiona_Pickle |
| Upload Date | September 09 2024 04:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.4 IPS |
|
|
Image Classification (HP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (Q)
|
96% |
1442
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1819
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14773
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2819
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5539
42.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
8628
66.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6572
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16992
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26911
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22498
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4763
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3583
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4526
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4540
78.5 IPS |
