MacBook Pro (14-inch, 2024)
Geekbench AI Score
5812
Single Precision Score
37411
Half Precision Score
50539
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2026 09:42 AM |
| Views | 3 |
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, 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% |
2167
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
17777
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21813
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23181
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31800
515.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17495
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122542
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230727
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
20089
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24506
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
5076
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
44356
527.0 IPS |
|
|
Face Detection (Q)
|
100% |
63204
751.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8836
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109572
844.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176524
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30804
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236798
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
330045
425.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6982
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48671
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79815
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16784
289.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16971
293.3 IPS |
