MacBook Pro (14-inch, 2024)
Geekbench AI Score
13756
Single Precision Score
15327
Half Precision Score
13542
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lafcadio |
| Upload Date | December 04 2024 04:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6915
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7360
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6273
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10807
175.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11335
183.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11387
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
46318
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48414
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45781
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6885
546.1 IPS |
|
|
Object Detection (HP)
|
100% |
7371
584.6 IPS |
|
|
Object Detection (Q)
|
91% |
6046
483.1 IPS |
|
|
Face Detection (SP)
|
100% |
23685
281.4 IPS |
|
|
Face Detection (HP)
|
100% |
24719
293.7 IPS |
|
|
Face Detection (Q)
|
100% |
18990
225.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31078
239.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33043
254.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
27517
215.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104743
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
114055
146.6 IPS |
|
|
Style Transfer (Q)
|
96% |
107192
138.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16960
626.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17771
656.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14165
523.1 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5212
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2538
43.9 IPS |
