Mac Studio (2023)
Geekbench AI Score
4563
Single Precision Score
7142
Half Precision Score
5989
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | August 16 2024 09:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.8 IPS |
|
|
Image Classification (Q)
|
99% |
2224
414.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18620
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31859
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
22591
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
2872
228.6 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3807
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6343
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6360
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11986
92.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
12057
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27801
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43414
55.8 IPS |
|
|
Style Transfer (Q)
|
100% |
42161
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8064
297.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4878
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6648
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.4 IPS |
