MacBook Pro (14-inch, 2024)
Geekbench AI Score
5650
Single Precision Score
37300
Half Precision Score
50736
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:08 AM |
| Views | 1 |
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% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
17598
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21826
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23143
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33102
536.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16911
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122566
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229590
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
20242
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24714
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44460
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
63748
757.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8646
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106017
816.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
180102
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
29698
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235321
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
326466
421.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49873
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80002
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5668
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5577
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16456
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16437
284.0 IPS |
