MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4677
Single Precision Score
28570
Half Precision Score
31593
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | savesteve |
| Upload Date | April 03 2026 07:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
15731
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
16607
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22466
364.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27491
445.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15731
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121077
141.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118415
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (HP)
|
100% |
16372
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16493
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
38139
453.2 IPS |
|
|
Face Detection (Q)
|
100% |
50336
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7110
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99588
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
121946
953.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30688
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
218317
280.6 IPS |
|
|
Style Transfer (Q)
|
96% |
207627
267.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37337
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48802
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
4917
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5135
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3479
60.1 IPS |
