Mac Studio (2023)
Geekbench AI Score
2641
Single Precision Score
12850
Half Precision Score
13612
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | August 15 2024 05:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.58 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1119
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
8211
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
8661
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5122
83.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5167
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16326
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93315
108.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
88831
104.2 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
99% |
9687
770.6 IPS |
|
|
Object Detection (Q)
|
93% |
10222
815.6 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
13978
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4201
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56793
437.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
61778
477.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14616
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
147423
189.5 IPS |
|
|
Style Transfer (Q)
|
100% |
147751
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21007
775.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28119
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
725
967.4 IPS |
|
|
Text Classification (Q)
|
93% |
709
951.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2122
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2113
36.5 IPS |
