MacBook Pro (14-inch, 2024)
Geekbench AI Score
5135
Single Precision Score
39273
Half Precision Score
56044
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 05:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
17701
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26696
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22225
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31872
516.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8818
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122716
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
234047
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18594
1.47 KIPS |
|
|
Object Detection (Q)
|
89% |
27558
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
43276
514.2 IPS |
|
|
Face Detection (Q)
|
100% |
68295
811.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8160
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101263
780.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172789
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
22700
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235938
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295946
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53479
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86796
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
6352
8.48 KIPS |
|
|
Text Classification (HP)
|
100% |
10291
13.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10219
13.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17091
294.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17983
310.8 IPS |
