Mac Studio (2023)
Geekbench AI Score
18053
Single Precision Score
19650
Half Precision Score
18480
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DFW |
| Upload Date | September 16 2025 05:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 3.26 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6342
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5852
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19351
313.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19718
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18648
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107044
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
114824
134.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
110070
128.9 IPS |
|
|
Object Detection (SP)
|
100% |
6308
500.3 IPS |
|
|
Object Detection (HP)
|
100% |
6324
501.6 IPS |
|
|
Object Detection (Q)
|
92% |
5936
473.8 IPS |
|
|
Face Detection (SP)
|
100% |
32034
380.6 IPS |
|
|
Face Detection (HP)
|
100% |
32763
389.3 IPS |
|
|
Face Detection (Q)
|
100% |
29195
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33460
257.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36298
279.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
33366
260.6 IPS |
|
|
Style Transfer (SP)
|
100% |
197576
254.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204768
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
198414
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24482
904.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25590
944.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22208
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4133
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3674
63.5 IPS |
