MacBook Pro (16-inch, 2023)
Geekbench AI Score
16050
Single Precision Score
17397
Half Precision Score
16464
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 03 2026 09:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6220
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6458
1.20 KIPS |
|
|
Image Classification (Q)
|
94% |
6069
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13250
214.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13259
214.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12494
202.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62505
72.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
66560
77.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
63911
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
6056
480.4 IPS |
|
|
Object Detection (HP)
|
100% |
6435
510.4 IPS |
|
|
Object Detection (Q)
|
91% |
6190
494.7 IPS |
|
|
Face Detection (SP)
|
100% |
25866
307.3 IPS |
|
|
Face Detection (HP)
|
100% |
26729
317.6 IPS |
|
|
Face Detection (Q)
|
100% |
24682
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28271
217.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28378
218.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
28343
221.6 IPS |
|
|
Style Transfer (SP)
|
100% |
114576
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
129785
166.8 IPS |
|
|
Style Transfer (Q)
|
96% |
127082
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19512
720.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20890
771.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18411
679.8 IPS |
|
|
Text Classification (SP)
|
100% |
4487
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6551
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6525
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4569
79.0 IPS |
