MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4689
Single Precision Score
29780
Half Precision Score
32703
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 03:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (HP)
|
100% |
15349
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
16489
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22222
360.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26752
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15761
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119256
139.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
118432
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
16851
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
16597
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
38180
453.7 IPS |
|
|
Face Detection (Q)
|
100% |
50254
597.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99038
763.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
113256
885.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31055
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
218160
280.4 IPS |
|
|
Style Transfer (Q)
|
96% |
207308
267.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39591
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49337
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5025
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5012
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4878
84.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5531
95.6 IPS |
