MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4110
Single Precision Score
30716
Half Precision Score
34849
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 10:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
16157
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
19500
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22475
364.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28204
457.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120400
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121005
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
18140
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20166
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
39277
466.7 IPS |
|
|
Face Detection (Q)
|
100% |
51198
608.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7124
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96801
745.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121014
946.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22179
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
224958
289.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219688
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5193
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44671
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57005
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5161
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5097
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4781
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4978
86.0 IPS |
