MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4675
Single Precision Score
29382
Half Precision Score
32333
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 20 2026 08:59 AM |
| Views | 6 |
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 | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.5 IPS |
|
|
Image Classification (HP)
|
100% |
14626
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
16277
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22237
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26619
431.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15823
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118756
138.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118192
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
16301
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16669
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
38141
453.2 IPS |
|
|
Face Detection (Q)
|
100% |
48826
580.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99884
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112380
878.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30953
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
217184
279.2 IPS |
|
|
Style Transfer (Q)
|
96% |
208413
268.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37478
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46362
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4967
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5556
96.0 IPS |
