Mac Studio (2023)
Geekbench AI Score
2769
Single Precision Score
4249
Half Precision Score
3518
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Caprichoso |
| Upload Date | August 16 2024 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
1658
308.4 IPS |
|
|
Image Classification (Q)
|
99% |
1723
321.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1194
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5328
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
12155
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10329
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
1810
144.1 IPS |
|
|
Object Detection (Q)
|
94% |
1560
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
2530
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8099
62.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
3498
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14517
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22552
29.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23168
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3253
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3263
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3227
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4250
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4068
70.3 IPS |
