Mac Studio (2023)
Geekbench AI Score
4196
Single Precision Score
6809
Half Precision Score
5348
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | UniqueNameIdentifier |
| Upload Date | September 28 2024 10:32 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
96% |
1632
304.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2988
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12948
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25684
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19738
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
1998
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6052
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6438
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12299
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8252
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39369
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30270
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6650
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6513
112.5 IPS |
