Mac Studio (2023)
Geekbench AI Score
4600
Single Precision Score
7106
Half Precision Score
5989
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JonoSC |
| Upload Date | August 19 2024 04:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.47 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
99% |
2238
417.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19284
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31532
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22623
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
97% |
2884
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2087
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3869
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6402
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12363
95.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
12086
93.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28581
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43004
55.3 IPS |
|
|
Style Transfer (Q)
|
100% |
43058
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8062
297.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4882
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4923
84.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6394
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6547
113.1 IPS |
