Mac Studio (2023)
Geekbench AI Score
4444
Single Precision Score
6946
Half Precision Score
5513
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 02:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.28 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2896
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18472
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30451
35.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23361
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3387
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10827
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7533
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29634
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43141
55.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33892
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5659
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7598
280.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4915
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.8 IPS |
