MacBook Pro (14-inch, 2024)
Geekbench AI Score
5806
Single Precision Score
36728
Half Precision Score
49862
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | loki234234 |
| Upload Date | December 11 2025 06:27 PM |
| Views | 7 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2172
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
17057
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
21044
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22971
372.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32837
532.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17358
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122451
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228979
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
19765
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24000
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
44177
524.9 IPS |
|
|
Face Detection (Q)
|
100% |
62793
746.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103960
800.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
175769
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30659
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237359
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
328535
424.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48619
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77641
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16268
280.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16271
281.2 IPS |
