MacBook Pro (14-inch, 2024)
Geekbench AI Score
5792
Single Precision Score
37437
Half Precision Score
50635
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 13 2025 09:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
2167
402.9 IPS |
|
|
Image Classification (HP)
|
100% |
17879
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22064
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23606
382.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32924
533.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17325
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122499
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230404
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
20652
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
24268
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44662
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
62660
744.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105977
816.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
179055
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30761
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237354
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
328034
423.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6921
255.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48976
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80621
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16518
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16655
287.8 IPS |
