MacBook Pro (14-inch, 2024)
Geekbench AI Score
13979
Single Precision Score
15617
Half Precision Score
15032
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | netnp103 |
| Upload Date | August 31 2025 03:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
7068
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7819
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
6946
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12342
200.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12912
209.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12293
199.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46084
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47458
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46696
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6562
520.5 IPS |
|
|
Object Detection (HP)
|
100% |
7372
584.8 IPS |
|
|
Object Detection (Q)
|
92% |
6652
531.0 IPS |
|
|
Face Detection (SP)
|
100% |
24299
288.7 IPS |
|
|
Face Detection (HP)
|
100% |
26200
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
21397
254.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31383
241.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32213
248.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
29373
229.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104876
134.8 IPS |
|
|
Style Transfer (HP)
|
100% |
110928
142.6 IPS |
|
|
Style Transfer (Q)
|
96% |
109105
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17074
630.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17016
628.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15323
565.8 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5273
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4017
69.4 IPS |
