MacBook Pro (14-inch, 2024)
Geekbench AI Score
5713
Single Precision Score
37322
Half Precision Score
50142
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | December 28 2025 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
17661
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21260
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23625
383.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33281
539.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17308
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122605
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230909
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
19782
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23680
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
44327
526.7 IPS |
|
|
Face Detection (Q)
|
100% |
62995
748.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8799
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111818
861.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177306
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30374
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232259
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
328849
424.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49532
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79026
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16553
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16327
282.1 IPS |
