MacBook Pro (14-inch, 2024)
Geekbench AI Score
15474
Single Precision Score
17390
Half Precision Score
15608
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 29 2025 09:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
7757
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8499
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
7266
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12207
197.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13157
213.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13627
220.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57233
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
59425
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56269
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7208
571.7 IPS |
|
|
Object Detection (HP)
|
100% |
7708
611.4 IPS |
|
|
Object Detection (Q)
|
91% |
6451
515.5 IPS |
|
|
Face Detection (SP)
|
100% |
25553
303.6 IPS |
|
|
Face Detection (HP)
|
100% |
27295
324.3 IPS |
|
|
Face Detection (Q)
|
100% |
21029
249.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33339
256.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35818
276.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29469
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123968
159.4 IPS |
|
|
Style Transfer (HP)
|
100% |
137266
176.5 IPS |
|
|
Style Transfer (Q)
|
96% |
127257
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22823
842.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24336
898.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20040
740.0 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5149
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2935
50.7 IPS |
