MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4696
Single Precision Score
7351
Half Precision Score
5931
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 03:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
2433
452.4 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2672
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
27753
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21504
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
97% |
2791
222.2 IPS |
|
|
Object Detection (Q)
|
94% |
2133
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
6359
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12564
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8776
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30281
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41254
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33442
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5522
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7841
289.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5086
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4867
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4679
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7281
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7253
125.3 IPS |
