Mac Studio (2023)
Geekbench AI Score
17794
Single Precision Score
19361
Half Precision Score
18139
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | June 19 2025 07:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6246
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6299
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5824
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18785
304.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19574
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18590
301.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
107069
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
114588
133.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
109841
128.7 IPS |
|
|
Object Detection (SP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (HP)
|
100% |
6319
501.2 IPS |
|
|
Object Detection (Q)
|
92% |
5938
474.0 IPS |
|
|
Face Detection (SP)
|
100% |
32214
382.8 IPS |
|
|
Face Detection (HP)
|
100% |
32664
388.1 IPS |
|
|
Face Detection (Q)
|
100% |
28763
341.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33322
256.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35550
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32682
255.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192607
247.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201890
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
196522
253.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24376
900.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25280
933.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22133
817.3 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3320
57.4 IPS |
