MacBook Pro (14-inch, 2024)
Geekbench AI Score
5792
Single Precision Score
36975
Half Precision Score
49574
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | November 21 2025 02:42 PM |
| Views | 2 |
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% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
17832
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
20747
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23623
382.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31726
514.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17326
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122644
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230613
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
19598
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23911
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5100
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
44023
523.1 IPS |
|
|
Face Detection (Q)
|
100% |
62352
740.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104620
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175939
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30696
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237270
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
326930
421.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48199
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77794
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16263
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16205
280.0 IPS |
