Mac Studio (2023)
Geekbench AI Score
4247
Single Precision Score
6683
Half Precision Score
5248
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | steph57 |
| Upload Date | March 09 2025 06:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.41 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.5 IPS |
|
|
Image Classification (Q)
|
96% |
1468
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2977
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17012
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27604
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22940
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3265
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6169
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10670
82.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7255
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26083
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42002
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31553
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8077
298.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6061
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5646
97.6 IPS |
