Mac Studio (2025)
Geekbench AI Score
5351
Single Precision Score
30523
Half Precision Score
33267
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 12 2026 07:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio (2025) |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
15260
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
15797
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22365
362.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27299
442.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22276
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
120905
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119416
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
18431
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
18940
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
38652
459.3 IPS |
|
|
Face Detection (Q)
|
100% |
50437
599.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7705
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106907
823.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120871
945.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37141
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
218944
281.5 IPS |
|
|
Style Transfer (Q)
|
96% |
210402
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40489
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48645
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5055
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5397
93.3 IPS |
