MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4742
Single Precision Score
30224
Half Precision Score
33216
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.76 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
15607
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
17654
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22658
367.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28289
458.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15694
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
119783
139.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118276
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
18950
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
19266
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
39235
466.2 IPS |
|
|
Face Detection (Q)
|
100% |
51402
610.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99328
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
114358
894.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30790
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
217068
279.0 IPS |
|
|
Style Transfer (Q)
|
96% |
206133
266.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38159
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43498
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5352
92.5 IPS |
