MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17369
Single Precision Score
19696
Half Precision Score
17669
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | belias03 |
| Upload Date | September 29 2025 09:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.19 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8771
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
9090
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
7713
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17175
278.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17935
290.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18425
298.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93754
109.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
97158
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
91439
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
7309
579.8 IPS |
|
|
Object Detection (HP)
|
100% |
8931
708.4 IPS |
|
|
Object Detection (Q)
|
91% |
7730
617.7 IPS |
|
|
Face Detection (SP)
|
100% |
31426
373.4 IPS |
|
|
Face Detection (HP)
|
100% |
36609
435.0 IPS |
|
|
Face Detection (Q)
|
100% |
27536
327.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40513
312.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42763
329.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
36717
287.0 IPS |
|
|
Style Transfer (SP)
|
100% |
192792
247.8 IPS |
|
|
Style Transfer (HP)
|
100% |
210507
270.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196835
254.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26352
973.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28093
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22878
844.8 IPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4719
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4698
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1381
23.9 IPS |
