MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3982
Single Precision Score
30944
Half Precision Score
34646
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 02:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
16637
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18611
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22281
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27443
444.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8345
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
121660
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120603
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
17815
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20531
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
39608
470.6 IPS |
|
|
Face Detection (Q)
|
100% |
51911
616.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97596
751.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122163
955.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21579
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229771
295.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219705
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4922
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45068
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54914
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4650
80.4 IPS |
