Mac Studio (2023)
Geekbench AI Score
13228
Single Precision Score
12851
Half Precision Score
11432
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gaige |
| Upload Date | August 16 2024 11:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1109
206.2 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
99% |
1020
190.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
16290
264.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17205
278.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
15920
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
133037
155.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
139401
162.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
117067
137.2 IPS |
|
|
Object Detection (SP)
|
100% |
5825
462.0 IPS |
|
|
Object Detection (HP)
|
100% |
6044
479.4 IPS |
|
|
Object Detection (Q)
|
92% |
4928
393.4 IPS |
|
|
Face Detection (SP)
|
100% |
29931
355.6 IPS |
|
|
Face Detection (HP)
|
100% |
28729
341.4 IPS |
|
|
Face Detection (Q)
|
100% |
21540
255.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34486
265.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36195
278.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
35951
278.0 IPS |
|
|
Style Transfer (SP)
|
100% |
219986
282.8 IPS |
|
|
Style Transfer (HP)
|
100% |
221735
285.0 IPS |
|
|
Style Transfer (Q)
|
100% |
218403
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25496
941.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25959
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18145
672.3 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.8 IPS |
|
|
Text Classification (Q)
|
93% |
634
850.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2143
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2092
36.1 IPS |
