MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20270
Single Precision Score
22807
Half Precision Score
21671
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | savesteve |
| Upload Date | April 03 2026 07:45 PM |
| Views | 5 |
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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8072
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8727
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
8153
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19885
322.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20711
335.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19760
320.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
88544
103.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
96870
113.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
92334
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
7700
610.8 IPS |
|
|
Object Detection (HP)
|
100% |
8493
673.7 IPS |
|
|
Object Detection (Q)
|
91% |
8583
685.9 IPS |
|
|
Face Detection (SP)
|
100% |
33650
399.8 IPS |
|
|
Face Detection (HP)
|
100% |
38138
453.2 IPS |
|
|
Face Detection (Q)
|
100% |
34434
409.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38389
295.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41237
317.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
38469
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
186419
239.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202266
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
202170
260.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24311
897.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25072
925.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22754
840.2 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4931
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6284
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5956
102.9 IPS |
