MacBook Pro (14-inch, 2024)
Geekbench AI Score
5540
Single Precision Score
40910
Half Precision Score
57008
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tomhumphrey |
| Upload Date | March 25 2026 07:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
20029
3.72 KIPS |
|
|
Image Classification (Q)
|
97% |
26055
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23883
387.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
35020
567.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14577
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122998
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233011
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
21944
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
28193
2.26 KIPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
46107
547.9 IPS |
|
|
Face Detection (Q)
|
100% |
73999
879.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112154
864.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
188838
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
26110
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239270
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299470
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50414
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87887
3.25 KIPS |
|
|
Text Classification (SP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (HP)
|
100% |
9293
12.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9120
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4970
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17549
302.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18034
311.6 IPS |
