Mac Studio (2023)
Geekbench AI Score
17742
Single Precision Score
19269
Half Precision Score
18114
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | July 26 2025 11:49 AM |
| Views | 9 |
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 | 3.37 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6183
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6205
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5747
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18989
307.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19292
312.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18383
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106251
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
114201
133.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
108922
127.6 IPS |
|
|
Object Detection (SP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (HP)
|
100% |
6261
496.6 IPS |
|
|
Object Detection (Q)
|
92% |
5842
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
32038
380.7 IPS |
|
|
Face Detection (HP)
|
100% |
32262
383.3 IPS |
|
|
Face Detection (Q)
|
100% |
28114
334.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33149
255.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35757
275.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32714
255.5 IPS |
|
|
Style Transfer (SP)
|
100% |
195514
251.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203363
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
196933
254.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23681
874.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24668
910.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21616
798.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3615
62.5 IPS |
