Mac Studio (2023)
Geekbench AI Score
4599
Single Precision Score
26485
Half Precision Score
29673
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 12:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.4 IPS |
|
|
Image Classification (HP)
|
100% |
13105
2.44 KIPS |
|
|
Image Classification (Q)
|
96% |
16004
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19425
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24326
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18550
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106496
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103396
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1853
146.9 IPS |
|
|
Object Detection (HP)
|
99% |
15692
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17626
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
34890
414.6 IPS |
|
|
Face Detection (Q)
|
100% |
44938
534.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6555
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85650
659.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107892
843.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27567
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201229
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188051
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40411
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48386
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4231
73.1 IPS |
