MacBook Pro (16-inch, 2024)
Geekbench AI Score
6940
Single Precision Score
7754
Half Precision Score
7287
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | October 19 2025 04:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7450
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7832
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
7319
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14411
233.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15008
243.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14541
235.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54315
63.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59438
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57147
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
6782
537.9 IPS |
|
|
Object Detection (HP)
|
100% |
7285
577.8 IPS |
|
|
Object Detection (Q)
|
92% |
6917
552.1 IPS |
|
|
Face Detection (SP)
|
100% |
25801
306.6 IPS |
|
|
Face Detection (HP)
|
100% |
29560
351.2 IPS |
|
|
Face Detection (Q)
|
100% |
24311
288.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32998
254.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34550
266.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31810
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
120115
154.4 IPS |
|
|
Style Transfer (HP)
|
100% |
134124
172.4 IPS |
|
|
Style Transfer (Q)
|
96% |
130802
168.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20595
760.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20799
768.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18329
676.8 IPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
48.5 IPS |
|
|
Machine Translation (HP)
|
0% |
0
52.7 IPS |
|
|
Machine Translation (Q)
|
0% |
0
47.5 IPS |
