Mac Studio (2023)
Geekbench AI Score
17929
Single Precision Score
19266
Half Precision Score
16426
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 07 2024 11:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
6303
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5070
946.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
17630
285.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18463
299.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18120
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
137954
161.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
142755
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
123367
144.6 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
6334
502.4 IPS |
|
|
Object Detection (Q)
|
91% |
5237
418.5 IPS |
|
|
Face Detection (SP)
|
100% |
35400
420.6 IPS |
|
|
Face Detection (HP)
|
100% |
35039
416.3 IPS |
|
|
Face Detection (Q)
|
100% |
25930
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34819
268.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36942
284.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29129
227.7 IPS |
|
|
Style Transfer (SP)
|
100% |
225766
290.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228839
294.2 IPS |
|
|
Style Transfer (Q)
|
96% |
206702
266.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25494
941.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26050
961.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18394
679.2 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
