Mac Studio (2023)
Geekbench AI Score
14285
Single Precision Score
15522
Half Precision Score
14349
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 09 2025 04:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 3.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6313
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5991
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13369
216.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13552
219.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12826
207.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
60282
70.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
64763
75.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
62449
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
5936
470.9 IPS |
|
|
Object Detection (HP)
|
100% |
6244
495.3 IPS |
|
|
Object Detection (Q)
|
92% |
5781
461.5 IPS |
|
|
Face Detection (SP)
|
100% |
25130
298.6 IPS |
|
|
Face Detection (HP)
|
100% |
25512
303.1 IPS |
|
|
Face Detection (Q)
|
100% |
22192
263.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29149
224.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29295
225.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
27219
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
113976
146.5 IPS |
|
|
Style Transfer (HP)
|
100% |
127954
164.5 IPS |
|
|
Style Transfer (Q)
|
96% |
124828
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19679
726.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20419
754.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18020
665.4 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3174
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.5 IPS |
