MacBook Pro (14-inch, 2024)
Geekbench AI Score
5556
Single Precision Score
37153
Half Precision Score
49909
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 02:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17588
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21480
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23517
381.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32522
527.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16778
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122018
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
228599
267.9 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
20227
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24048
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
43579
517.8 IPS |
|
|
Face Detection (Q)
|
100% |
63328
752.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110303
849.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175306
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
29070
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235586
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
323200
417.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6756
249.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48366
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77245
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5482
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5410
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16353
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16498
285.1 IPS |
