MacBook Pro (14-inch, 2024)
Geekbench AI Score
5749
Single Precision Score
39519
Half Precision Score
54179
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mqq |
| Upload Date | March 29 2026 04:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.5 IPS |
|
|
Image Classification (HP)
|
100% |
19874
3.70 KIPS |
|
|
Image Classification (Q)
|
97% |
26554
4.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24075
390.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32979
534.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17127
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123916
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
234687
275.1 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
22157
1.76 KIPS |
|
|
Object Detection (Q)
|
91% |
27067
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4911
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
45300
538.3 IPS |
|
|
Face Detection (Q)
|
100% |
66372
788.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8756
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
116332
896.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
189335
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
30106
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
240045
308.6 IPS |
|
|
Style Transfer (Q)
|
96% |
335204
432.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53073
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87285
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5654
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5747
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5590
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
18636
321.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18543
320.4 IPS |
