Mac Studio (2023)
Geekbench AI Score
4486
Single Precision Score
25591
Half Precision Score
28731
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | June 19 2025 07:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.43 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
13640
2.54 KIPS |
|
|
Image Classification (Q)
|
96% |
15667
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19643
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24432
396.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19010
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105000
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104817
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
99% |
15344
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16878
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
31637
375.9 IPS |
|
|
Face Detection (Q)
|
100% |
44560
529.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6218
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86107
663.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107650
841.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29341
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202902
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
190095
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40597
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49017
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3193
55.2 IPS |
