Mac15,14
Geekbench AI Score
5379
Single Precision Score
8629
Half Precision Score
6797
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 05:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1667
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
96% |
1873
349.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21832
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
40065
46.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30244
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4250
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7810
60.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13828
106.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9764
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36870
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
61214
78.7 IPS |
|
|
Style Transfer (Q)
|
96% |
44416
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6390
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9037
333.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5673
209.5 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5220
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8122
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8142
140.7 IPS |
