Mac Studio (2023)
Geekbench AI Score
4178
Single Precision Score
6713
Half Precision Score
5711
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2269
421.9 IPS |
|
|
Image Classification (Q)
|
99% |
2240
417.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12928
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24599
28.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19373
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5911
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3436
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12224
94.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
12149
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24777
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38291
49.2 IPS |
|
|
Style Transfer (Q)
|
100% |
38198
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4425
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4659
80.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6348
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6297
108.8 IPS |
