Mac Studio (2023)
Geekbench AI Score
4234
Single Precision Score
28078
Half Precision Score
31327
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | masm66 |
| Upload Date | December 10 2024 06:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
15342
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
17288
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19864
322.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24757
401.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13095
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106392
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104655
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
99% |
15709
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17384
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
36208
430.2 IPS |
|
|
Face Detection (Q)
|
100% |
46426
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6273
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87754
676.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109467
855.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25099
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206227
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191710
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41991
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50403
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5899
101.9 IPS |
