MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17963
Single Precision Score
19932
Half Precision Score
18698
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vpotapenko |
| Upload Date | November 28 2025 11:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7859
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8628
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
7681
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16803
272.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17741
287.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16868
273.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64873
75.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
73146
85.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
70916
83.1 IPS |
|
|
Object Detection (SP)
|
100% |
7768
616.2 IPS |
|
|
Object Detection (HP)
|
100% |
8247
654.2 IPS |
|
|
Object Detection (Q)
|
92% |
7618
608.1 IPS |
|
|
Face Detection (SP)
|
100% |
28942
343.9 IPS |
|
|
Face Detection (HP)
|
100% |
33929
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
28121
334.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33794
260.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36871
284.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
33956
265.2 IPS |
|
|
Style Transfer (SP)
|
100% |
145592
187.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165143
212.3 IPS |
|
|
Style Transfer (Q)
|
96% |
158183
204.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22667
837.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22886
845.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19611
724.1 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5144
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5231
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4409
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4817
83.2 IPS |
