Mac15,14
Geekbench AI Score
20228
Single Precision Score
22168
Half Precision Score
20051
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 12:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 3.96 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8003
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
6955
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19565
317.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20753
336.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21801
353.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
113455
132.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116560
136.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
108011
126.6 IPS |
|
|
Object Detection (SP)
|
100% |
7906
627.1 IPS |
|
|
Object Detection (HP)
|
100% |
8129
644.8 IPS |
|
|
Object Detection (Q)
|
91% |
7221
577.0 IPS |
|
|
Face Detection (SP)
|
100% |
36411
432.6 IPS |
|
|
Face Detection (HP)
|
100% |
38441
456.8 IPS |
|
|
Face Detection (Q)
|
100% |
30695
364.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38584
297.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40882
315.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
34944
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
250303
321.8 IPS |
|
|
Style Transfer (HP)
|
100% |
268780
345.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249674
322.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29118
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29401
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23309
860.7 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2874
49.7 IPS |
