MacBook Pro (16-inch, 2024)
Geekbench AI Score
5417
Single Precision Score
36630
Half Precision Score
49879
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 09:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
17624
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22261
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23294
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32217
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17434
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122688
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228632
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19639
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23646
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
45508
540.7 IPS |
|
|
Face Detection (Q)
|
100% |
65735
781.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106739
822.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177636
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25746
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234786
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298324
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46529
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78478
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16462
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16434
284.0 IPS |
