MacBook Pro (14-inch, 2024)
Geekbench AI Score
5768
Single Precision Score
38784
Half Precision Score
52697
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dodovdv |
| Upload Date | March 21 2026 05:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2168
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
19387
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
23997
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23989
388.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32611
528.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17428
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123469
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
234275
274.6 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
21508
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
26994
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5109
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
45146
536.4 IPS |
|
|
Face Detection (Q)
|
100% |
64687
768.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8840
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112871
869.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
181856
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
30768
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238748
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
334420
431.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51000
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84133
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18072
311.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17981
310.7 IPS |
