Mac Studio (2023)
Geekbench AI Score
18028
Single Precision Score
19507
Half Precision Score
18115
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | steph57 |
| Upload Date | October 22 2025 04:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
6440
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6315
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5869
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19149
310.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19637
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18495
299.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106555
124.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
114121
133.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
109504
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
6156
488.3 IPS |
|
|
Object Detection (HP)
|
100% |
6184
490.5 IPS |
|
|
Object Detection (Q)
|
92% |
5921
472.7 IPS |
|
|
Face Detection (SP)
|
100% |
32059
380.9 IPS |
|
|
Face Detection (HP)
|
100% |
32775
389.4 IPS |
|
|
Face Detection (Q)
|
100% |
28907
343.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33282
256.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35842
276.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
33061
258.2 IPS |
|
|
Style Transfer (SP)
|
100% |
195479
251.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202426
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196396
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24242
895.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25298
934.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21234
784.1 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3266
56.4 IPS |
