MacBook Pro (14-inch, 2024)
Geekbench AI Score
16593
Single Precision Score
18410
Half Precision Score
17387
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7485
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8055
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7357
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14378
233.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15195
246.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14289
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56343
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
56808
66.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56112
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
6747
535.1 IPS |
|
|
Object Detection (HP)
|
100% |
7547
598.7 IPS |
|
|
Object Detection (Q)
|
92% |
6887
549.7 IPS |
|
|
Face Detection (SP)
|
100% |
24760
294.2 IPS |
|
|
Face Detection (HP)
|
100% |
27879
331.3 IPS |
|
|
Face Detection (Q)
|
100% |
24203
287.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33120
255.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34705
267.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
31497
246.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123678
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
131923
169.6 IPS |
|
|
Style Transfer (Q)
|
96% |
128802
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22734
839.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20825
769.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20275
748.7 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5768
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6055
104.6 IPS |
