MacBook Pro (14-inch, 2024)
Geekbench AI Score
5381
Single Precision Score
37353
Half Precision Score
49882
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AionChaos |
| Upload Date | April 26 2025 12:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
17878
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22685
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23321
378.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33452
542.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17471
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122660
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232091
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
19887
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24753
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45909
545.5 IPS |
|
|
Face Detection (Q)
|
100% |
57199
679.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112142
864.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177719
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25453
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238667
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302981
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47979
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79937
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5376
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16454
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16530
285.7 IPS |
