Mac Studio (2023)
Geekbench AI Score
16482
Single Precision Score
17753
Half Precision Score
13621
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:36 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 3.23 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6135
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6348
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
5602
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16094
260.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16482
267.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
15432
250.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107393
125.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111678
130.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
95319
111.6 IPS |
|
|
Object Detection (SP)
|
100% |
6192
491.2 IPS |
|
|
Object Detection (HP)
|
100% |
6157
488.4 IPS |
|
|
Object Detection (Q)
|
91% |
5101
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
32055
380.9 IPS |
|
|
Face Detection (HP)
|
100% |
31760
377.4 IPS |
|
|
Face Detection (Q)
|
100% |
23316
277.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33092
255.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34938
269.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
9073
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
195331
251.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200903
258.3 IPS |
|
|
Style Transfer (Q)
|
100% |
194205
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23614
871.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24118
890.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16948
627.9 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1934
33.4 IPS |
