MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4696
Single Precision Score
7756
Half Precision Score
6079
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 01:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.67 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15092
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29418
34.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22699
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (HP)
|
97% |
3051
242.9 IPS |
|
|
Object Detection (Q)
|
94% |
2197
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
6953
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3938
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7273
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12957
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8998
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31292
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48531
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36854
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5575
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7678
283.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4678
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4693
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8152
140.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8076
139.6 IPS |
