Mac15,14
Geekbench AI Score
5260
Single Precision Score
8203
Half Precision Score
6419
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | April 20 2025 06:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.0 IPS |
|
|
Image Classification (Q)
|
96% |
1855
346.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3484
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21176
24.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36724
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26884
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (HP)
|
97% |
3145
250.4 IPS |
|
|
Object Detection (Q)
|
94% |
2293
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7014
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
4090
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7598
58.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12468
96.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8683
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35608
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51900
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38598
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6805
251.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9422
347.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5733
211.7 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7626
131.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7580
131.0 IPS |
