MacBook Pro (14-inch, 2024)
Geekbench AI Score
5414
Single Precision Score
39225
Half Precision Score
53588
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2026 05:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
19793
3.68 KIPS |
|
|
Image Classification (Q)
|
97% |
24753
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23916
387.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33850
548.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15416
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122380
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231655
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
22063
1.75 KIPS |
|
|
Object Detection (Q)
|
91% |
27024
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
45151
536.5 IPS |
|
|
Face Detection (Q)
|
100% |
66279
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113648
875.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
189578
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27608
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237481
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
332631
429.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51713
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87473
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
5930
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18055
311.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17375
300.3 IPS |
