MacBook Pro (14-inch, 2024)
Geekbench AI Score
5137
Single Precision Score
39184
Half Precision Score
56013
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 11:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17573
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25577
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22345
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31528
511.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8759
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123556
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233663
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
18275
1.45 KIPS |
|
|
Object Detection (Q)
|
89% |
27579
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
43592
518.0 IPS |
|
|
Face Detection (Q)
|
100% |
69907
830.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8158
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101373
781.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171285
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
22215
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236929
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295292
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53678
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88937
3.28 KIPS |
|
|
Text Classification (SP)
|
99% |
6440
8.60 KIPS |
|
|
Text Classification (HP)
|
99% |
10399
13.9 KIPS |
|
|
Text Classification (Q)
|
93% |
10022
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16468
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18563
320.8 IPS |
