MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10941
Single Precision Score
12502
Half Precision Score
11410
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jkirinus |
| Upload Date | October 23 2025 03:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5624
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6345
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5279
985.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9134
148.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9903
160.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9592
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33590
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
37533
43.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
36345
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
5462
433.3 IPS |
|
|
Object Detection (HP)
|
100% |
5728
454.4 IPS |
|
|
Object Detection (Q)
|
92% |
5398
430.9 IPS |
|
|
Face Detection (SP)
|
100% |
16536
196.5 IPS |
|
|
Face Detection (HP)
|
100% |
20275
240.9 IPS |
|
|
Face Detection (Q)
|
100% |
16548
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22296
171.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24969
192.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
22795
178.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76168
97.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87259
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
84280
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13291
490.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14537
536.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12575
464.3 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5024
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1875
32.4 IPS |
