MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
21439
Single Precision Score
23969
Half Precision Score
22570
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 18 2026 02:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8866
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
9190
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
8469
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20325
329.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21619
350.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20472
331.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
89855
104.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
98485
114.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
93989
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
8435
669.1 IPS |
|
|
Object Detection (HP)
|
100% |
9304
738.0 IPS |
|
|
Object Detection (Q)
|
91% |
8829
705.6 IPS |
|
|
Face Detection (SP)
|
100% |
36848
437.8 IPS |
|
|
Face Detection (HP)
|
100% |
41492
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
37846
449.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40284
310.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42418
326.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
38748
303.2 IPS |
|
|
Style Transfer (SP)
|
100% |
192135
247.0 IPS |
|
|
Style Transfer (HP)
|
100% |
210660
270.8 IPS |
|
|
Style Transfer (Q)
|
96% |
205553
265.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26158
965.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26897
993.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23599
871.4 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5092
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6593
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6771
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6542
113.1 IPS |
