Mac Studio (2023)
Geekbench AI Score
3121
Single Precision Score
4736
Half Precision Score
3929
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gaige |
| Upload Date | August 16 2024 11:05 AM |
| Views | 5 |
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 | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (Q)
|
99% |
1806
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6273
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14873
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12556
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2199
175.0 IPS |
|
|
Object Detection (Q)
|
94% |
1675
133.5 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2945
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8569
66.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4331
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16721
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26452
34.0 IPS |
|
|
Style Transfer (Q)
|
100% |
26369
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3561
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3276
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4509
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4515
78.0 IPS |
