MacBook Pro (14-inch, 2024)
Geekbench AI Score
5768
Single Precision Score
36756
Half Precision Score
49405
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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% |
2151
400.0 IPS |
|
|
Image Classification (HP)
|
100% |
17383
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
20778
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23433
379.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31664
513.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17374
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122228
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229962
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
19614
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23796
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
44197
525.2 IPS |
|
|
Face Detection (Q)
|
100% |
62674
744.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103923
800.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
174154
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30713
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235854
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
324233
418.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6954
256.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48772
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77343
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5373
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5966
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16238
279.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16456
284.4 IPS |
