Mac Studio (2023)
Geekbench AI Score
17983
Single Precision Score
19536
Half Precision Score
18419
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 12:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6201
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6233
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5786
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19228
311.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19602
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18544
300.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106662
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
114404
133.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
109630
128.4 IPS |
|
|
Object Detection (SP)
|
100% |
6220
493.4 IPS |
|
|
Object Detection (HP)
|
100% |
6271
497.4 IPS |
|
|
Object Detection (Q)
|
92% |
5912
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
32541
386.7 IPS |
|
|
Face Detection (HP)
|
100% |
32354
384.4 IPS |
|
|
Face Detection (Q)
|
100% |
28994
344.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33321
256.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36016
277.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
33169
259.1 IPS |
|
|
Style Transfer (SP)
|
100% |
195492
251.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204028
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
197137
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24204
893.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25112
927.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22147
817.8 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3724
64.4 IPS |
