MacBook Pro (14-inch, 2024)
Geekbench AI Score
4999
Single Precision Score
36385
Half Precision Score
50618
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 04:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2110
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
17027
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
22686
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21940
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30474
494.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122547
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233013
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
17772
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25538
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4375
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
43140
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
60831
722.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99478
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161350
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24349
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234483
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
318887
411.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51385
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81563
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16392
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18027
311.5 IPS |
