MacBook Pro (16-inch, 2024)
Geekbench AI Score
5791
Single Precision Score
37404
Half Precision Score
50366
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | February 03 2025 09:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
18012
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22666
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23263
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32179
521.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19017
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123291
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230664
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
20245
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24476
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44827
532.6 IPS |
|
|
Face Detection (Q)
|
100% |
58536
695.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8798
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106491
820.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178631
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35398
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238914
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304411
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46714
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80273
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5693
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16854
290.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17538
303.1 IPS |
