MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4153
Single Precision Score
30794
Half Precision Score
34377
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 10:25 AM |
| Views | 7 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
16752
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
18041
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22085
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27877
451.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8995
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120779
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120027
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
17291
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19859
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39421
468.4 IPS |
|
|
Face Detection (Q)
|
100% |
51509
612.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98577
759.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
121431
949.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22317
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226433
291.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219366
283.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44944
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55246
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5108
88.3 IPS |
