MacBook Pro (14-inch, 2024)
Geekbench AI Score
5296
Single Precision Score
37848
Half Precision Score
50224
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 26 2026 09:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
17875
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22499
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23419
379.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32541
527.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16868
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122358
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228649
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
19961
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24483
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44911
533.6 IPS |
|
|
Face Detection (Q)
|
100% |
59715
709.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111828
861.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176856
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25717
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236976
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300225
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46683
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79474
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
6261
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5472
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16963
292.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16591
286.7 IPS |
