MacBook Pro (14-inch, 2024)
Geekbench AI Score
5788
Single Precision Score
8900
Half Precision Score
6877
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18866
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30372
35.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23539
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4572
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4672
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8865
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14352
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10165
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35166
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49847
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38772
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9556
352.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5301
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5144
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5773
99.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8827
152.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8864
153.2 IPS |
