MacBook Pro (14-inch, 2024)
Geekbench AI Score
5407
Single Precision Score
38017
Half Precision Score
51133
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | di3go_vr |
| Upload Date | March 13 2026 07:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17943
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23680
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23673
383.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32487
526.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16899
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122977
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230626
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
20366
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
25743
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
41406
492.0 IPS |
|
|
Face Detection (Q)
|
100% |
61648
732.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113287
872.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
180292
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25786
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238380
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302890
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47095
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79456
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6671
8.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5712
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16876
290.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16638
287.5 IPS |
