MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4687
Single Precision Score
29940
Half Precision Score
32638
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 04:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.65 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
16312
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17803
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22588
366.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28115
455.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15447
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
121273
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120030
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
18866
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
19111
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3888
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
38595
458.6 IPS |
|
|
Face Detection (Q)
|
100% |
50274
597.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106230
818.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
120609
943.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30637
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
221911
285.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210623
271.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5664
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42384
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52543
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5228
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3503
60.5 IPS |
