Mac Studio (2023)
Geekbench AI Score
18237
Single Precision Score
19602
Half Precision Score
17769
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | egoodchild |
| Upload Date | March 07 2025 02:41 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6245
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6502
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5631
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17834
289.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19211
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
138633
161.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
143594
167.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
131005
153.5 IPS |
|
|
Object Detection (SP)
|
100% |
6340
502.9 IPS |
|
|
Object Detection (HP)
|
100% |
6353
503.9 IPS |
|
|
Object Detection (Q)
|
91% |
5719
457.0 IPS |
|
|
Face Detection (SP)
|
100% |
35373
420.3 IPS |
|
|
Face Detection (HP)
|
100% |
35936
427.0 IPS |
|
|
Face Detection (Q)
|
100% |
28188
334.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35084
270.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36991
285.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32290
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
226561
291.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228442
293.7 IPS |
|
|
Style Transfer (Q)
|
96% |
212600
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25307
934.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26353
973.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20848
769.8 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2406
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2398
41.4 IPS |
