MacBook Pro (14-inch, 2024)
Geekbench AI Score
15407
Single Precision Score
17348
Half Precision Score
15499
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gandalfk7 |
| Upload Date | January 09 2025 05:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7510
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8420
1.57 KIPS |
|
|
Image Classification (Q)
|
97% |
7093
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12067
195.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12939
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13254
214.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56775
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59137
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55924
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7165
568.3 IPS |
|
|
Object Detection (HP)
|
100% |
7709
611.4 IPS |
|
|
Object Detection (Q)
|
91% |
6469
517.0 IPS |
|
|
Face Detection (SP)
|
100% |
25575
303.9 IPS |
|
|
Face Detection (HP)
|
100% |
27305
324.4 IPS |
|
|
Face Detection (Q)
|
100% |
21262
252.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34068
262.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35846
276.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29911
233.8 IPS |
|
|
Style Transfer (SP)
|
100% |
123599
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134938
173.5 IPS |
|
|
Style Transfer (Q)
|
96% |
126869
163.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22921
846.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24348
899.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19232
710.1 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5206
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2913
50.3 IPS |
