Mac15,14
Geekbench AI Score
5204
Single Precision Score
8025
Half Precision Score
6397
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | April 06 2025 07:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.8 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.0 IPS |
|
|
Image Classification (Q)
|
96% |
1862
347.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21621
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
36181
42.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25342
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.1 IPS |
|
|
Object Detection (HP)
|
97% |
3174
252.7 IPS |
|
|
Object Detection (Q)
|
94% |
2305
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
6215
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
4114
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7507
57.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12916
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9074
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30155
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45827
58.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36309
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6934
256.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9271
342.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5798
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5062
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5022
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7627
131.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7630
131.9 IPS |
