MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20919
Single Precision Score
23609
Half Precision Score
21679
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 04:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8598
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8845
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
8374
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20164
326.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21379
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20077
325.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
88779
103.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
97317
113.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
93137
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
8430
668.7 IPS |
|
|
Object Detection (HP)
|
100% |
9410
746.4 IPS |
|
|
Object Detection (Q)
|
91% |
7297
583.2 IPS |
|
|
Face Detection (SP)
|
100% |
34278
407.3 IPS |
|
|
Face Detection (HP)
|
100% |
41081
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
37338
443.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38936
300.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41763
321.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
40607
317.7 IPS |
|
|
Style Transfer (SP)
|
100% |
190765
245.2 IPS |
|
|
Style Transfer (HP)
|
100% |
209377
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201921
260.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25716
949.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26013
960.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23090
852.6 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5057
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4697
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6046
104.5 IPS |
